Application of AI for Non-invasive Assessment Methods to Monitor Surface Transportation Infrastructure
A special issue of Infrastructures (ISSN 2412-3811).
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 8080
Special Issue Editors
Interests: non-destructive testing; construction; crack detection in concrete
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Interests: tidal marsh soils; transportation geotechnics; nondestructive remote sensing and machine learning application in geomaterials
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Special Issue Information
Dear Colleagues,
The development and application of artificial intelligence (AI) for interpretation and classification of non-invasive data plays a significant role in robust and unbiased condition assessment of surface transportation infrastructures (STI) such as roads and bridges. The big data obtained from the STI are complex by nature in spectral and spatial variation. Therefore, the analysis of these data are greatly enhanced through the deployment of recent advancements in machine learning (ML) and deep learning (DL). This special issue is dedicated to of the use of AI models to aid infrastructure stakeholders evaluate their assets avoiding traditional methods of testing. Authors are encouraged to submit original technical papers, review papers, and data papers to this special issue.
Dr. Sattar Dorafshan
Dr. S. Sonny Kim
Prof. Dr. Vistasp Karbhari
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- roads
- bridges
- machine learning
- big data
- nondestructive evaluation
- nondestructive testing
- surface transportation infrastructure
- deep learning
- defect detection
- condition assessment
- health monitoring
- remote sensing
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